Titlebook: Algorithms and Architectures for Parallel Processing; 21st International C Yongxuan Lai,Tian Wang,Aniello Castiglione Conference proceeding

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书目名称Algorithms and Architectures for Parallel Processing影响因子(影响力)




书目名称Algorithms and Architectures for Parallel Processing影响因子(影响力)学科排名




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书目名称Algorithms and Architectures for Parallel Processing网络公开度学科排名




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书目名称Algorithms and Architectures for Parallel Processing被引频次学科排名




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书目名称Algorithms and Architectures for Parallel Processing年度引用学科排名




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书目名称Algorithms and Architectures for Parallel Processing读者反馈学科排名

高兴一回

Towards Requester-Provider Bilateral Utility Maximization and Collision Resistance in Blockchain-Basti-directional trading. Nevertheless, the traditional solutions for energy trading usually rely on a centralized framework, which is vulnerable to high operation cost and low transparency. To address the problem, the blockchain strategy has been widely deployed in microgrid energy trading. However,

卵石

dapper

Overdose

ABE-AC4DDS: An Access Control Scheme Based on Attribute-Based Encryption for Data Distribution Servihich is based on attribute-based encryption theory and suitable for topic-based publish/subscribe communication model. The scheme takes the topic as the unit of data access control and integrates the access control process with the DDS communication process, In the discovery phase of DDS, the digita

使声音降低

圆桶

Auto-Recon: An Automated Network Reconnaissance System Based on Knowledge Graphf enterprise network information, their exposure on the Internet is also expanding rapidly, which raises many security issues. It is hard for the existing approaches of network security management to cover dynamic and hidden assets. Moreover, black-box-based network reconnaissance is highly dependen

Madrigal

INGCF: An Improved Recommendation Algorithm Based on NGCF (NGCF) has the problem of insufficient feature extraction of user vector and item vector. In addition, it uses the linear combination of the final embedding vectors of user and item to calculate the inner product, which is difficult to accurately obtain the user-item prediction score. In this artic

GEAR

Musculoskeletal

BMTP: Combining Backward Matching with Tree-Based Pruning for Large-Scale Content-Based Pub/Sub Systrmance bottleneck in large-scale systems that maintain tens of millions of subscriptions, such as stock data updates. To deal with the large-scale subscription problem, in this paper, we propose a new matching algorithm called BMTP, which achieves high and robust matching performance. BMTP combines